Alternatives and similar repositories for TGX

Users that are interested in TGX are comparing it to the libraries listed below

• fpour / DGB
  Dynamic Graph Benchmark
  ☆81Updated 2 years ago
• ellisalicante / GraphRewiring-Tutorial
  This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…
  ☆54Updated 2 years ago
• fpour / TGB_Baselines
  TGB baselines for dynamic link property prediction
  ☆23Updated 5 months ago
• shenyangHuang / TGB
  Temporal Graph Benchmark project repo
  ☆221Updated 2 weeks ago
• FeiGSSS / Awesome-HigherOrderGraph
  Collection of papers relating data-driven higher-order graph/networks researches.
  ☆70Updated 2 years ago
• Graph-COM / GraphMaker
  [TMLR] GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?
  ☆60Updated 2 months ago
• MGitHubL / Awesome-Temporal-Graph-Learning
  Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).
  ☆71Updated last month
• yule-BUAA / DyGLib_TGB
  An Empirical Evaluation of Temporal Graph Benchmark
  ☆33Updated last year
• AaltoPML / PINT
  ☆19Updated 2 years ago
• gravins / dynamic_graph_benchmark
  The official repository for the paper "Deep learning for dynamic graphs: models and benchmarks" accepted at IEEE TNNLS
  ☆24Updated 11 months ago
• snap-stanford / CAW
  ☆76Updated 2 years ago
• GraphFramEx / graphframex
  GraphFramEx: a systematic evaluation framework for explainability methods on GNNs
  ☆44Updated last year
• FraLotito / higher-order-motifs
  Code for the paper "Higher-order motif analysis in hypergraphs"
  ☆31Updated 3 years ago
• MGitHubL / Deep-Temporal-Graph-Clustering
  ☆47Updated last month
• Graph-COM / GAD-NR
  [WSDM 2024] GAD-NR : Graph Anomaly Detection via Neighborhood Reconstruction
  ☆45Updated 7 months ago
• SherylHYX / pytorch_geometric_signed_directed
  PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…
  ☆139Updated 4 months ago
• emalgorithm / directed-graph-neural-network
  Dir-GNN is a machine learning model that enables learning on directed graphs.
  ☆81Updated 2 years ago
• twitter-research / feature-propagation
  ☆82Updated 3 years ago
• luis-mueller / probing-graph-transformers
  Code for our paper "Attending to Graph Transformers"
  ☆88Updated last year
• GraphPKU / PygHO
  A library for subgraph GNN based on pyg
  ☆41Updated 6 months ago
• XiaoxinHe / tape_arxiv_2023
  ☆37Updated last year
• NSLab-CUK / Unified-Graph-Transformer
  Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…
  ☆27Updated 2 months ago
• pbielak / graph-barlow-twins
  The official implementation of the Graph Barlow Twins method with the experimental pipeline
  ☆31Updated last year
• hypergraphlab / Hypergraph-Tutorial
  ☆59Updated 10 months ago
• Graph-COM / Neighborhood-Aware-Temporal-Network
  Yuhong Luo and Pan Li. Neighborhood-aware scalable temporal network representation learning. In Learning on Graphs, 2022.
  ☆27Updated 2 years ago
• Xi-yuanWang / GLASS
  GLASS: GNN with Labeling Tricks for Subgraph Representation Learning
  ☆31Updated 2 years ago
• GraphPKU / NeuralCommonNeighbor
  ☆47Updated 10 months ago
• pathpy / pathpyG
  GPU-accelerated Next-Generation Network Analytics and Graph Learning for Time Series Data on Complex Networks.
  ☆45Updated last week
• AntonioLonga / ETNgen
  ETNgen: A temporal graph generator based on Egocentric Temporal Motifs
  ☆13Updated last year
• zekarias-tilahun / SelfGNN
  A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in …
  ☆30Updated 3 years ago